Li-ion battery aging test & data analytics
With the rising popularity of Li-ion batteries, the ability to attain accurate estimation of the battery core and surface temperature is of crucial importance to ensure the operational performance, safety, and reliability usage of Li-ion batteries. Impedance-based and data-driven based temperat...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/157723 |
| _version_ | 1826115081170059264 |
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| author | Sim, Xiao Hui |
| author2 | Xu Yan |
| author_facet | Xu Yan Sim, Xiao Hui |
| author_sort | Sim, Xiao Hui |
| collection | NTU |
| description | With the rising popularity of Li-ion batteries, the ability to attain accurate estimation of the battery
core and surface temperature is of crucial importance to ensure the operational
performance, safety, and reliability usage of Li-ion batteries.
Impedance-based and data-driven based temperature estimation gaining
substantial popularity in recent years because of their sensorless estimation
characteristic and lower modeling complexity, this study proposes to study a hybrid
model of impedance-based temperature estimation method with Stochastic
Configuration Network (SCN) approach. To further explore on the accuracy
performance of SCN, the model will be compared against Artificial Neural Network
(ANN) and Support Vector Regression (SVR). The performance of the models will then be assessed
in terms of root mean square error (RMSE) and mean absolute error (MAE). |
| first_indexed | 2024-10-01T03:49:42Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157723 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:49:42Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1577232023-07-07T18:59:13Z Li-ion battery aging test & data analytics Sim, Xiao Hui Xu Yan School of Electrical and Electronic Engineering xuyan@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic circuits With the rising popularity of Li-ion batteries, the ability to attain accurate estimation of the battery core and surface temperature is of crucial importance to ensure the operational performance, safety, and reliability usage of Li-ion batteries. Impedance-based and data-driven based temperature estimation gaining substantial popularity in recent years because of their sensorless estimation characteristic and lower modeling complexity, this study proposes to study a hybrid model of impedance-based temperature estimation method with Stochastic Configuration Network (SCN) approach. To further explore on the accuracy performance of SCN, the model will be compared against Artificial Neural Network (ANN) and Support Vector Regression (SVR). The performance of the models will then be assessed in terms of root mean square error (RMSE) and mean absolute error (MAE). Bachelor of Engineering (Information Engineering and Media) 2022-05-18T06:43:25Z 2022-05-18T06:43:25Z 2022 Final Year Project (FYP) Sim, X. H. (2022). Li-ion battery aging test & data analytics. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157723 https://hdl.handle.net/10356/157723 en A1196-211 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Electronic circuits Sim, Xiao Hui Li-ion battery aging test & data analytics |
| title | Li-ion battery aging test & data analytics |
| title_full | Li-ion battery aging test & data analytics |
| title_fullStr | Li-ion battery aging test & data analytics |
| title_full_unstemmed | Li-ion battery aging test & data analytics |
| title_short | Li-ion battery aging test & data analytics |
| title_sort | li ion battery aging test data analytics |
| topic | Engineering::Electrical and electronic engineering::Electronic circuits |
| url | https://hdl.handle.net/10356/157723 |
| work_keys_str_mv | AT simxiaohui liionbatteryagingtestdataanalytics |